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Updated: Jul 29, 2026

Targeted RNA Sequencing Assay to Characterize Gene Expression and Genomic Alterations
Published on: August 4, 2016
Gene expression-driven diagnostics and pharmacogenomics in cancer
1Veridex LLC, a Johnson & Johnson Company, 3210 Merryfield Row, San Diego, CA 92121, USA. ywang44@vrxus.jnj.com
Abstract:
The advancement of microarray technologies for characterizing tumors at the gene expression level has made a significant impact on the field of oncology. Profiling gene expression of various human tumors has led to the identification of gene expression patterns or signatures related to tumor classification, disease outcome and response to therapy. This technology can also be used to study the mechanism of action of specific therapeutics. Routine application of microarrays in clinical practice will require significant efforts to standardize the array manufacturing techniques, assay protocols and analytical methods used to interpret the data. Extensive, independent validation using large, statistically sound datasets will also be necessary. Studies on gene expression profiling of clinically relevant tissue samples with the aim of finding gene markers to support disease prognosis and therapy decisions are reviewed.
Insights
Microarray technology analyzes gene expression in tumors, aiding cancer classification and treatment. Standardization and validation are crucial for its clinical use in personalized oncology.
Area of Science:
- Oncology
- Molecular Biology
- Bioinformatics
Background:
- Microarray technology enables gene expression profiling of human tumors.
- Gene expression signatures are identified for tumor classification, prognosis, and therapy response.
- This technology can elucidate therapeutic mechanisms of action.
Purpose of the Study:
- To review studies on gene expression profiling for clinical applications.
- To highlight the potential of microarrays in supporting disease prognosis and therapy decisions.
- To discuss requirements for routine clinical implementation of microarrays.
Main Methods:
- Gene expression profiling using microarray technology.
- Analysis of clinically relevant tissue samples.
- Review of existing literature on microarray applications in oncology.
Main Results:
- Identification of gene expression patterns linked to tumor characteristics.
- Demonstration of microarrays' utility in predicting treatment outcomes.
- Highlighting the need for standardization and validation for clinical adoption.
Conclusions:
- Microarray-based gene expression profiling is a powerful tool in oncology.
- Standardization of techniques and extensive validation are essential for clinical integration.
- Further research is needed to fully realize the potential of microarrays in personalized cancer care.
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